Application of a geographic model with climate information to calculate the water balance of the Marina Baja area of Alicante

Authors

  • Benito Zaragozí Zaragozí Universidad de Alicante. Instituto Interuniversitario de Geografía
  • Alfredo Ramón Morte Universidad de Alicante. Instituto Interuniversitario de Geografía
  • Jorge Olcina Cantos Universidad de Alicante. Instituto Interuniversitario de Geografía

Abstract

This paper discusses new trends in the creation and management of geographic information for the development of inductive models based entirely on geodatabases. These models enable the integration of large volumes of data with heterogeneous characteristics, which is of an enormous technical and methodological complexity. We propose a methodology to determine the distribution of natural water resources in a study area and derive numerous geospatial layers that can be incorporated into these “data-hungry” models. The Marina Baja is the study area chosen to apply this methodology. An estimation of the spatial water balance is presented using statistical tools, geostatistics and geographic information systems. Finally, the layers generated (84) have been validated, thus demonstrating that the creation of such layers allows for a convenient degree of automation that permits them to be incorporated into broader data mining studies.

Keywords

climate models, geographic information systems, data mining, water balance, Marina Baja

References

ALLEN, Richard G.; JENSEN, Marvin E.; WRIGHT, James L.; BURMAN y Richard D. (1989). «Operational Estimates of Reference Evapotranspiration». Agronomy Journal, 81, 650-662. http://dx.doi.org/10.2134/agronj1989.00021962008100040019x

ALLEN, Richard G.; PEREIRA, Luis S.; RAES, Dirk y SMITH, Martin (1998). Crop evapotranspiration - guidelines for computing crop water requirements. Nueva York: FAO.

ANDREU, Joaquín J.; CAPILLA, José E. y SANCHIS, Emilio (1996). «AQUATOOL, a generalized decision-support system for water-resources planning and operational management». Journal of Hidrology, 177, 269-291.

BENAVIDES, Raquel; ROIG, Sonia y OSORO, Koldo (2009). «Potential productivity of forested areas based on a biophysical model. A case study of a mountainous región in northern Spain». Annals of Forest Science, 66, 108. http://dx.doi.org/10.1051/forest/2008080

CAMP, R. J. y WHEATON, J. M. (2014). «Streamlining field data collection with mobile apps». Eos, Transactions American Geophysical Union, 95 (49), 453-472

DRIPPS, Weston R. y BRADBURY, Ken R. (2007). «A simple daily soil–water balance model for estimating the spatial and temporal distribution of groundwater recharge in temperate humid areas». Hydrogeology Journal, 15, 433-444. http://dx.doi.org/10.1007/s10040-007-0160-6

ELWOOD, Sarah; GOODCHILD, Michael F. y SUI, Daniel Z. (2014). «Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice». Annals of the Association of American Geographers, 3, 571-590. http://dx.doi.org/10.1080/00045608.2011.595657

GIBERT, Karina y SÀNCHEZ-MARRÈ, Miquel (2011). «Outcomes from the iEMSs data mining in the environmental sciences workshop series». Environmental Modelling & Software, 26, 983-985. http://dx.doi.org/10.1016/j.envsoft.2011.01.009

GOOGLE (2011). Google Achieves Search Milestone With Immediate Access To More Than 6 Billion Items. Google Press Cent 1.

LIU, W. Timothy; XIE, Xiaosu; TANG, Wenquing y ZLOTNICKI, Victor (2006). «Spacebased observations of oceanic influence on the annual variation of South American water balance». Geophysical Research Letters, 33, L08710. http://dx.doi.org/10.1029/2006GL025683

LUIS ROMERO, Arturo (1995). «Formulación de los modelos matemáticos para la determinación de los principales elementos que intervienen en el cálculo del régimen de riego en caña planta». Caña de Azúcar, 13 (01), 3-22.

MAIMON, Oded y ROKACH, Lior (2010). Data Mining and Knowledge Discovery Handbook. Nueva York: Springer.

NINYEROLA, Miquel; PONS, Xavier y ROURE, Joan M. (2000). «A methodological approach of climatological modelling of temperature and precipitation through GIS techniques». International Journal of Climatology, 20 (14), 1823-1841.

PARKER, Dawn C.; HESSL, Amy y DAVIS, Sarah C. (2008). «Complexity, land-use modeling, and the human dimension: Fundamental challenges for mapping unknown outcome spaces». Geoforum, 39, 789-804. http://dx.doi.org/10.1016/j.geoforum.2007.05.005

PÉREZ CUEVA, Alejandro J. (1991). Atlas climàtic de la Comunitat Valenciana, 1961-1990. València: Conselleria d’Obres Públiques, Urbanisme i Transports.

QUEREDA SALA, José (1978). Comarca de La Marina, Alicante: estudio de geografía regional. Alicante: Excma. Diputación Provincial.

REED, Seann. M.; MAIDMENT, David. R. y PATOUX, Jérome (1997). «Spatial Water Balance of Texas». Online Report, 97-1. Disponible en: http://www.ce.utexas.edu/prof/maidment/gishydro/seann/texas/wbtexas.htm

RICO AMORÓS, Antonio y OLCINA CANTOS, Jorge (2004). «El abastecimiento de agua en la Marina Baja (Alicante): Un ejemplo de complementariedad entre usos agrarios y urbano-turísticos». En: Historia clima y paisaje. Estudios geográficos en Memoria del Profesor Antonio López Gómez. Universitat de València, 551-567.

RUÍZ, José Manuel (1998). «Desarrollo de un modelo hidrológico conceptual distribuido de simulación continua integrado con un SIG». Universidad Politécnica de Valencia.

SÁNCHEZ MONTAHUD, Juan Rafael; EISENHUTH, Denise; BELLOT ABAD, Juan, et al. (2004). «Los vínculos existentes entre los recursos hídricos y la sostenibilidad de los sistemas naturales y humanos en la Marina Baixa». IV Congreso Ibérico sobre Gestión y Planificación del Agua. Tortosa, 8-12. Disponible en: http://rua.ua.es/dspace/handle/10045/25878

THORNTHWAITE, Charles Warren (1948). «An approach toward a rational classification of climate». Geographical Review, 38, 55-94.

TURC, L. (1967). «Incidence des facteurs macroclimatiques sur les productions végétales». Fourrages, 31.

WILSON, John P. y GALLANT, John C. (2001). Terrain Analysis. Principles and Applications. Nueva York: John Wiley & Sons.

XU, Xiaowei; ESTER, Martin; KRIEGEL, Hans-Peter y SANDER, Jörg (1998). «A distribution-based clustering algorithm for mining in large spatial databases». En: Proceedings 14th International Conference on Data Engineering. IEEE Computer Society Technical Committee on Data Engineering, 324-331.

ZARAGOZÍ, Benito Manuel; RABASA, Alejandro; RODRÍGUEZ-SALA, Jesús Javier, et al. (2012). «Modelling farmland abandonment: A study combining GIS and data mining techniques». Agriculture, Ecosystems & Environment, 155, 124-132. http://dx.doi.org/10.1016/j.agee.2012.03.019

Published

2016-01-28

How to Cite

Zaragozí Zaragozí, B., Ramón Morte, A., & Olcina Cantos, J. (2016). Application of a geographic model with climate information to calculate the water balance of the Marina Baja area of Alicante. Documents d’Anàlisi Geogràfica, 62(1), 207–233. https://doi.org/10.5565/rev/dag.250

Downloads

Download data is not yet available.